The rise of intelligent matter

Sternberg, R. J. Theories of intelligence. In APA Handbook of Giftedness and Talent (eds Pfeiffer, S. I. et al.) 145–161 (American Psychological Association, 2018). 10.1037/0000038-010

[3]

Legg, S. & Hutter, M. Universal intelligence: a definition of machine intelligence. Minds Mach. 17, 391–444 (2007). 10.1007/s11023-007-9079-x

[4]

Amato, F. et al. Artificial neural networks in medical diagnosis. J. Appl. Biomed. 11, 47–58 (2013). 10.2478/v10136-012-0031-x

[5]

Lane, N. D., Bhattacharya, S., Mathur, A., Forlivesi, C. & Kawsar, F. Squeezing deep learning into mobile and embedded devices. IEEE Pervasive Comput. 16, 82–88 (2017). 10.1109/mprv.2017.2940968

[6]

Hecht, J. Lidar for self-driving cars. Opt. Photonics News 29, 26–33 (2018). 10.1364/opn.29.1.000026

[7]

Kanao, K. et al. Highly selective flexible tactile strain and temperature sensors against substrate bending for an artificial skin. RSC Adv. 5, 30170–30174 (2015). 10.1039/c5ra03110a

[8]

Kim, J. et al. Stretchable silicon nanoribbon electronics for skin prosthesis. Nat. Commun. 5, 5747 (2014). 10.1038/ncomms6747

[9]

Fernández-Caramés, T. M. & Fraga-Lamas, P. Towards the internet-of-smart-clothing: a review on IoT wearables and garments for creating intelligent connected E-textiles. Electronics 7, 405 (2018). 10.3390/electronics7120405

[10]

Whitesides, G. M. Soft robotics. Angew. Chem. Int. Ed. 57, 4258–4273 (2018). 10.1002/anie.201800907

[11]

Majidi, C. Soft robotics: a perspective—current trends and prospects for the future. Soft Robot. 1, 5–11 (2014). 10.1089/soro.2013.0001

[12]

Hamdioui, S. et al. Applications of computation-in-memory architectures based on memristive devices. In Proc. 2019 Design, Automation and Test in Europe Conference and Exhibition 486–491, https://doi.org/10.23919/DATE.2019.8715020 (2019). 10.23919/date.2019.8715020

[13]

In-memory computing with resistive switching devices

Daniele Ielmini, H.-S. Philip Wong

Nature Electronics 2018 10.1038/s41928-018-0092-2

[14]

Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R. & Eleftheriou, E. Memory devices and applications for in-memory computing. Nat. Nanotechnol. 15, 529–544 (2020). 10.1038/s41565-020-0655-z

[15]

Bioinspired structural materials

Ulrike G. K. Wegst, Hao Bai, Eduardo Saiz et al.

Nature Materials 2015 10.1038/nmat4089

[16]

Isaacoff, B. P. & Brown, K. A. Progress in top-down control of bottom-up assembly. Nano Lett. 17, 6508–6510 (2017). 10.1021/acs.nanolett.7b04479

[17]

McEvoy, M. A. & Correll, N. Materials that couple sensing, actuation, computation, and communication. Science 347, 1261689 (2015). 10.1126/science.1261689

[18]

Walther, A. Viewpoint: from responsive to adaptive and interactive materials and materials systems: a roadmap. Adv. Mater. 32, 1905111 (2020). 10.1002/adma.201905111

[19]

Materials learning from life: concepts for active, adaptive and autonomous molecular systems

Rémi Merindol, Andreas Walther

Chemical Society Reviews 2017 10.1039/c6cs00738d

[20]

Urban, M. W. Handbook of Stimuli-Responsive Materials (Wiley, 2011). 10.1002/9783527633739

[21]

He, X. et al. Synthetic homeostatic materials with chemo-mechano-chemical self-regulation. Nature 487, 214–218 (2012). An intriguing example of an autonomous, homeostatic material system based on chemo-mechanical feedback loops. 10.1038/nature11223

[22]

Anderson, C., Theraulaz, G. & Deneubourg, J. L. Self-assemblages in insect societies. Insectes Soc. 49, 99–110 (2002). 10.1007/s00040-002-8286-y

[23]

From behavioural analyses to models of collective motion in fish schools

Ugo Lopez, Jacques Gautrais, IAIN D. COUZIN et al.

Interface Focus 2012 10.1098/rsfs.2012.0033

[24]

Bajec, I. L. & Heppner, F. H. Organized flight in birds. Anim. Behav. 78, 777–789 (2009). 10.1016/j.anbehav.2009.07.007

[25]

Hinchey, M. G., Sterritt, R. & Rouff, C. Swarms and swarm intelligence. Computer 40, 111–113 (2007). 10.1109/mc.2007.144

[26]

Rubenstein, M., Cornejo, A. & Nagpal, R. Programmable self-assembly in a thousand-robot swarm. Science 345, 795–799 (2014). 10.1126/science.1254295

[27]

Yu, J., Wang, B., Du, X., Wang, Q. & Zhang, L. Ultra-extensible ribbon-like magnetic microswarm. Nat. Commun. 9, 3260 (2018). This article demonstrates how paramagnetic nanoparticles self-organize in a microswarm that can pass obstacles and how its locomotion can be controlled by applying oscillating magnetic fields. 10.1038/s41467-018-05749-6

[28]

Palacci, J., Sacanna, S., Steinberg, A. P., Pine, D. J. & Chaikin, P. M. Living crystals of light-activated colloidal surfers. Science 339, 936–940 (2013). 10.1126/science.1230020

[29]

Yan, J., Bloom, M., Bae, S. C., Luijten, E. & Granick, S. Linking synchronization to self-assembly using magnetic Janus colloids. Nature 491, 578–581 (2012). 10.1038/nature11619

[30]

Liang, X. et al. Hierarchical microswarms with leader–follower-like structures: electrohydrodynamic self-organization and multimode collective photoresponses. Adv. Funct. Mater. 30, 1908602 (2020). 10.1002/adfm.201908602

[31]

Mou, F. et al. Phototactic flocking of photochemical micromotors. iScience 19, 415–424 (2019). This study shows flocking behaviour of synthesized spherical microparticles, which can execute transporting tasks along predefined pathways or bypass obstacles. 10.1016/j.isci.2019.07.050

[32]

Dai, B. et al. Programmable artificial phototactic microswimmer. Nat. Nanotechnol. 11, 1087–1092 (2016). 10.1038/nnano.2016.187

[33]

Tagliazucchi, M., Weiss, E. A. & Szleifer, I. Dissipative self-assembly of particles interacting through time-oscillatory potentials. Proc. Natl Acad. Sci. USA 111, 9751–9756 (2014). 10.1073/pnas.1406122111

[34]

Carnall, J. M. A. et al. Mechanosensitive self-replication driven by self-organization. Science 327, 1502–1506 (2010). 10.1126/science.1182767

[35]

Sadownik, J. W., Mattia, E., Nowak, P. & Otto, S. Diversification of self-replicating molecules. Nat. Chem. 8, 264–269 (2016). 10.1038/nchem.2419

[36]

Monreal Santiago, G., Liu, K., Browne, W. R. & Otto, S. Emergence of light-driven protometabolism upon recruitment of a photocatalytic cofactor by a self-replicator. Nat. Chem. 12, 603–607 (2020). 10.1038/s41557-020-0494-4

[37]

Rus, D. & Tolley, M. T. Design, fabrication and control of soft robots. Nature 521, 467–475 (2015). 10.1038/nature14543

[38]

Zhu, B. et al. Skin-inspired haptic memory arrays with an electrically reconfigurable architecture. Adv. Mater. 28, 1559–1566 (2016). 10.1002/adma.201504754

[39]

Son, D. et al. Multifunctional wearable devices for diagnosis and therapy of movement disorders. Nat. Nanotechnol. 9, 397–404 (2014). 10.1038/nnano.2014.38

[40]

Miriyev, A., Stack, K. & Lipson, H. Soft material for soft actuators. Nat. Commun. 8, 596 (2017). 10.1038/s41467-017-00685-3

[41]

Zhao, Z., Wang, C., Yan, H. & Liu, Y. Soft robotics programmed with double crosslinking DNA hydrogels. Adv. Funct. Mater. 29, 1905911 (2019). This article shows impressively how to translate nanometre-scale DNA self-assembly into macroscopic movements of soft materials, an encouraging achievement for soft robotics. 10.1002/adfm.201905911

[42]

Yang, H. et al. 3D printed photoresponsive devices based on shape memory composites. Adv. Mater. 29, 1701627 (2017). 10.1002/adma.201701627

[43]

Lai, Y. C. et al. Actively perceiving and responsive soft robots enabled by self-powered, highly extensible, and highly sensitive triboelectric proximity- and pressure-sensing skins. Adv. Mater. 30, 1801114 (2018). This work presents soft robots driven by self-generated electricity via the triboelectric effect, which can sense and embrace close objects. 10.1002/adma.201801114

[44]

Schroeder, T. B. H. et al. An electric-eel-inspired soft power source from stacked hydrogels. Nature 552, 214–218 (2017). 10.1038/nature24670

[45]

Liu, Y. et al. Stretchable motion memory devices based on mechanical hybrid materials. Adv. Mater. 29, 1701780 (2017). 10.1002/adma.201701780

[46]

Oh, J. Y. et al. Intrinsically stretchable and healable semiconducting polymer for organic transistors. Nature 539, 411–415 (2016). 10.1038/nature20102

[47]

Urban, M. W. et al. Key-and-lock commodity self-healing copolymers. Science 225, 220–225 (2018). A remarkable example for an advanced soft material with self-healing capabilities. 10.1126/science.aat2975

[48]

Chen, Y., Kushner, A. M., Williams, G. A. & Guan, Z. Multiphase design of autonomic self-healing thermoplastic elastomers. Nat. Chem. 4, 467–472 (2012). 10.1038/nchem.1314

[49]

Li, C. H. et al. A highly stretchable autonomous self-healing elastomer. Nat. Chem. 8, 618–624 (2016). 10.1038/nchem.2492

[50]

Beyer, H. M. et al. Synthetic biology makes polymer materials count. Adv. Mater. 30, 1800472 (2018). 10.1002/adma.201800472

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Published: Jun 16, 2021
Vol/Issue: 594(7863)
Pages: 345-355
License: View

Authors

Cite This Article

C. Kaspar, B. J. Ravoo, W. G. van der Wiel, et al. (2021). The rise of intelligent matter. Nature, 594(7863), 345-355. https://doi.org/10.1038/s41586-021-03453-y

The rise of intelligent matter

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